Senior Data Ingestion Architect - Remote (Cloud & Kubernetes)

Encora Inc.; Municipio de Rincón de los Sauces; Remote; ARS 151.455.000 - 212.038.000; Vollzeit

Benefits dieser Stelle

Contractor USD payment

100% remote work

Argentina holidays

Zusammenfassung

Darwoft is partnering with a cybersecurity company to deliver a next-generation Identity Security and Observability platform. We seek a Senior Data Engineer focused on data ingestion, integrations, and collectors who will serve as a technical bridge to enterprise customers.

You will design scalable ingestion pipelines, ingest data from diverse sources, and collaborate with Solution Architects, Sales Engineering, and Customer Success to ensure rapid value delivery and reliable deployments.

Qualifikationen

• 10+ years of professional software or data engineering experience.
• Strong Python and Go development skills.
• Experience designing data ingestion pipelines and connectors.
• Proven ability to work with REST APIs and cloud services.
• Hands-on with Docker and Kubernetes in production.
• Experience with SQL/NoSQL and CI/CD practices.

Aufgaben

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and security tools.
• Work with customers to understand environments and constraints.
• Build scalable ingestion architectures for high-volume data.
• Develop backend services using Python and/or Go.
• Deploy and operate containerized services on AWS, Azure, and GCP.

Kenntnisse

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

CI/CD

Customer-facing

Distributed systems

Tools

AWS

Azure

GCP

Jobbeschreibung

Darwoft is partnering with a cybersecurity company to deliver a next-generation Identity Security and Observability platform. We seek a Senior Data Engineer focused on data ingestion, integrations, and collectors who will serve as a technical bridge to enterprise customers.

You will design scalable ingestion pipelines, ingest data from diverse sources, and collaborate with Solution Architects, Sales Engineering, and Customer Success to ensure rapid value delivery and reliable deployments.